I extract mucosal antibodies from monkey fecal matter and prepare them for enzyme immunoassays, the concentration of these antibodies indicates gastrointestinal immune activity in two different monkey species in Kibale National Forest in Uganda.- ground fecal matter collected from monkeys.- transferred ground samples to tubes. - weighed fecal matter in tubes to balance.- added incubation buffer into falcon tubes.- labeled and put falcon tubes into centrifuges.- pipetted and transferred supernatant into a different set of falcon tubes.- made sure that no particles were put into final microtubes. - stored final extractions into an assayed box.- I used Microsoft Excel to input data.- used R (coding) to code the data.- created a coating solution by adding 100 ml of coating solution to each well- aspirated coating solution from a plate - used a block with 200 ml of incubation buffer- thawed samples and centrifuged- created a standard curve to show how much SigA content is in each sample- learned how to autoclave- created graphs on R to display data - used R to analyze a number of different samples

Working with Data Science to help build resolutions for problems in the coding world, primarily those that disproportionately affect minority groups.- attended workshops for data science and coding. - learned how to use R to code.- attended discussions to help determine how to fix and to understand how different factors affect underrepresented communities.- trained and educated in general knowledge involving computational and data science. - trained in how to understand how biases affect the world of STEM. - trained to understand critical race theory and algorithmic bias.